Nonequilibrium diffusion of active particles bound to a semi-flexible polymer network: simulations and fractional Langevin equation
arXiv:2303.05851 · doi:10.1063/5.0150224
Abstract
In a viscoelastic environment, the diffusion of a particle becomes non-Markovian due to the memory effect. An open question is to quantitatively explain how self-propulsion particles with directional memory diffuse in such a medium. Based on simulations and analytic theory, we address this issue with active viscoelastic systems where an active particle is connected with multiple semi-flexible filaments. Our Langevin dynamics simulations show that the active cross-linker displays super- and sub-diffusive athermal motion with a time-dependent anomalous exponent . In such viscoelastic feedback, the active particle always has superdiffusion with at times shorter than the self-propulsion time (). At times greater than , the subdiffusion emerges with bounded between and . Remarkably, the active subdiffusion is reinforced as the active propulsion (Pe) is more vigorous. In the high-Pe limit, the athermal fluctuation in the stiff filament eventually leads to , which can be misinterpreted with the thermal Rouse motion in a flexible chain. We demonstrate that the motion of active particles cross-linking a network of semi-flexible filaments can be governed by a fractional Langevin equation combined with fractional Gaussian noise and an Ornstein-Uhlenbeck noise. We analytically derive the velocity autocorrelation function and mean-squared displacement of the model, explaining their scaling relations as well as the prefactors. We find that there exist the threshold Pe () and cross-over times ( and ) above which the active viscoelastic dynamics emerge on the timescales of . Our study may provide a theoretical insight into various nonequilibrium active dynamics in intracellular viscoelastic environments.
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- Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach
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